Face recognition method, device and equipment applied to self-service equipment

Abstract

The application provides a face recognition method, device and equipment applied to self-service equipment, and relates to the technical field of artificial intelligence. The method comprises the following steps: acquiring an image collected by an image collection unit located on the self-service equipment, acquiring emission information of an emission unit located on the self-service equipment, and acquiring reception information of a reception unit located on the self-service equipment; determining current environment information according to the emission information and the reception information; performing image processing on the image according to the current environment information to obtain a processed image; and performing face recognition on the processed image to obtain a recognition result. The method provided by the application improves the accuracy and efficiency of image recognition of the self-service equipment.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of artificial intelligence, and particularly relates to a face recognition method and device applied to a self-service device and equipment. BACKGROUND

[0002] Nowadays, face recognition technology is applied to many fields, for example, bank business is handled based on face recognition.

[0003] In the prior art, the way of handling bank business based on face recognition can be applied to a self-service device of a bank. The self-service device can collect a face image through its own camera, and then handle bank business on the self-service device based on face image recognition.

[0004] However, in the above way, when the environment visibility where the self-service device is located is low, the collected image quality is poor, which causes the self-service device to be difficult to accurately and quickly recognize the image, and further affects the efficiency of the user in handling bank business. SUMMARY

[0005] The present application provides a face recognition method and device applied to a self-service device and equipment, to solve the technical problem that the self-service device is difficult to accurately and quickly recognize the image when the environment visibility where the self-service device is located is low.

[0006] In a first aspect, the present application provides a face recognition method applied to a self-service device, comprising:

[0007] An image collected by an image collection unit located on the self-service device is acquired, and emission information of an emission unit located on the self-service device and reception information of a reception unit located on the self-service device are acquired; wherein the image is a face image of a user currently in a preset area, the emission unit is used to emit a light beam based on a preset time interval, the emission information is emission parameter information when the emission unit emits the light beam, the reception unit is used to receive at least one optical signal generated after the light beam emitted by the emission unit is scattered by an environmental medium, and the reception information is reception parameter information when the reception unit receives the at least one optical signal;

[0008] Current environmental information is determined according to the emission information and the reception information; wherein the current environmental information represents an optical propagation parameter of an environmental medium of an environment where the user is currently located;

[0009] The image is processed according to the current environmental information to obtain a processed image;

[0010] Face recognition is performed on the processed image to obtain a recognition result, wherein the recognition result indicates whether the user is a user owner corresponding to the self-service device, and the recognition result is used to instruct the user to perform a bank operation.

[0011] In one example, the transmission information includes a transmission time, the transmission time being a time at which the transmission unit transmits a light beam each time; the reception information includes a set of reception times and a set of reception powers, the set of reception times including a reception time of each light signal received by the reception unit, the reception time being a time at which the reception unit receives a light signal, and the set of reception powers including a reception power of each light signal received by the reception unit, the reception power being a reception power when the reception unit receives a light signal; and the current environment information includes an absorption coefficient and a scattering coefficient.

[0012] According to the transmission information and the reception information, the current environment information is determined, including:

[0013] According to the transmission time, the set of reception times, and a preset light speed, a set of transmission distances is determined, wherein the preset light speed is a speed at which each light signal propagates in air; and the set of transmission distances includes a transmission distance of each light signal received by the reception unit, the transmission distance being a distance at which a light signal is transmitted in an environment between the transmission unit and the reception unit.

[0014] According to the set of transmission distances and the set of reception powers, slope information is determined, wherein the slope information indicates a degree of difficulty of propagation of a light beam transmitted by the transmission unit each time in the current environment in which the user is located.

[0015] According to slope information of light beams transmitted by the transmission unit two times in succession, the absorption coefficient and the scattering coefficient in the current environment information are determined, wherein the scattering coefficient indicates a capability of an environmental medium to scatter light, and the absorption coefficient indicates a capability of the environmental medium to absorb light; and built-in parameters of the reception unit are inconsistent when the reception unit receives the light beams transmitted by the transmission unit two times in succession.

[0016] In one example, slope information of the light beam transmitted the i th time is wherein z k is a transmission distance of the k th light signal received by the reception unit, and P(k) is a reception power when the reception unit receives the k th light signal.

[0017] In one example, the absorption coefficient is the scattering coefficient wherein K i is slope information of the light beam transmitted the i th time by the transmission unit, and K i+1a slope information of a light beam emitted by the emitting unit for the i+1th time, r i an internal parameter of the receiving unit when receiving the light beam emitted by the emitting unit for the ith time, r i+1 an internal parameter of the receiving unit when receiving the light beam emitted by the emitting unit for the i+1th time.

[0018] In one example, according to the current environment information, the image is subjected to image processing to obtain a processed image, including:

[0019] According to the current environment information, an image processing parameter is determined, wherein the image processing parameter is an optical parameter used for image processing.

[0020] According to the image processing parameter, the image is subjected to image recovery processing to obtain the processed image.

[0021] In one example, the processed image is subjected to face recognition to obtain a recognition result, including:

[0022] The processed image is compared with a preset face image.

[0023] If it is determined that the processed image is consistent with the preset face image, it is determined that the recognition result represents that the user is a householder corresponding to the self-service device.

[0024] If it is determined that the processed image is inconsistent with the preset face image, it is determined that the recognition result represents that the user is not a householder corresponding to the self-service device.

[0025] In one example, after the processed image is subjected to face recognition to obtain a recognition result, it further includes:

[0026] If it is determined that the recognition result represents that the user is not a householder corresponding to the self-service device, an alarm information is sent, wherein the alarm information is used to prompt a bank staff to handle an abnormal situation.

[0027] In one example, the current environment information includes an absorption coefficient and a scattering coefficient, wherein the scattering coefficient represents the ability of an environmental medium to scatter light, and the absorption coefficient represents the ability of the environmental medium to absorb light.

[0028] In a second aspect, the present application provides a face recognition device applied to a self-service device, including:

[0029] An acquisition unit is configured to acquire an image collected by an image collection unit located on a self-service device, and acquire transmission information of a transmission unit located on the self-service device and reception information of a reception unit located on the self-service device. The image is a face image of a user currently in a preset area. The transmission unit is configured to transmit a light beam based on a preset time interval. The transmission information is transmission parameter information when the transmission unit transmits the light beam. The reception unit is configured to receive at least one light signal generated by the light beam transmitted by the transmission unit after scattering through an environmental medium. The reception information is reception parameter information when the reception unit receives the at least one light signal.

[0030] A determination unit is configured to determine current environmental information based on the transmission information and the reception information. The current environmental information represents an optical propagation parameter of an environmental medium of an environment currently occupied by the user.

[0031] A processing unit is configured to perform image processing on the image based on the current environmental information to obtain a processed image.

[0032] An identification unit is configured to perform face identification on the processed image to obtain an identification result. The identification result represents whether the user is a user owner corresponding to the self-service device. The identification result is used to instruct the user to perform a bank operation.

[0033] In one example, the transmission information includes a transmission time. The transmission time is a time when the transmission unit transmits the light beam each time. The reception information includes a set of reception times and a set of reception powers. The set of reception times includes a reception time of each light signal received by the reception unit. The reception time is a time when the reception unit receives the light signal. The set of reception powers includes a reception power of each light signal received by the reception unit. The reception power is a reception power when the reception unit receives the light signal. The current environmental information includes an absorption coefficient and a scattering coefficient.

[0034] The determination unit includes:

[0035] A first determination module is configured to determine a set of transmission distances based on the transmission time, the set of reception times, and a preset speed of light. The preset speed of light is a speed of each light signal propagating in air. The set of transmission distances includes a transmission distance of each light signal received by the reception unit. The transmission distance is a distance of the light signal transmitted in the environment between the transmission unit and the reception unit.

[0036] a second determining module, configured to determine slope information according to the set of transmission distances and the set of received powers, wherein the slope information represents a degree of difficulty of propagation of each light beam emitted by the emitting unit in the current environment in which the user is located;

[0037] a third determining module, configured to determine an absorption coefficient and a scattering coefficient in the current environment information according to the slope information of the light beams emitted by the emitting unit for two consecutive times; wherein the scattering coefficient represents a capability of scattering light of an environmental medium, and the absorption coefficient represents a capability of absorbing light of the environmental medium; the built-in parameters of the receiving unit when receiving the light beams emitted by the emitting unit for two consecutive times are inconsistent.

[0038] In one example, the slope information of the light beam emitted for the i-th time is wherein z k is the transmission distance of the k-th light signal received by the receiving unit, and P(k) is the received power when the receiving unit receives the k-th light signal.

[0039] In one example, the absorption coefficient is the scattering coefficient is wherein K i is the slope information of the light beam emitted by the emitting unit for the i-th time, K i+1 is the slope information of the light beam emitted by the emitting unit for the i+1-th time, r i is the built-in parameter of the receiving unit when receiving the light beam emitted by the emitting unit for the i-th time, and r i+1 is the built-in parameter of the receiving unit when receiving the light beam emitted by the emitting unit for the i+1-th time.

[0040] In one example, the processing unit comprises:

[0041] a fourth determining module, configured to determine image processing parameters according to the current environment information; wherein the image processing parameters are optical parameters used for image processing;

[0042] a processing module, configured to perform image recovery processing on the image according to the image processing parameters, to obtain the processed image.

[0043] In one example, the identifying unit comprises:

[0044] a comparing module, configured to compare the processed image with a preset face image;

[0045] a fifth determining module, configured to determine that the identification result represents that the user is a householder corresponding to the self-service device, if it is determined that the processed image is consistent with the preset face image.

[0046] a sixth determining module, configured to determine that the recognition result represents that the user is not the owner corresponding to the self-service device, if it is determined that the processed image is inconsistent with the preset face image.

[0047] In one example, after the recognition unit is configured to perform face recognition on the processed image to obtain a recognition result, the method further includes:

[0048] an alarm unit, configured to issue an alarm information if it is determined that the recognition result represents that the user is not the owner corresponding to the self-service device, wherein the alarm information is used to prompt a bank staff to handle an abnormal situation.

[0049] In one example, the current environment information includes an absorption coefficient and a scattering coefficient, wherein the scattering coefficient represents the ability of an environment medium to scatter light, and the absorption coefficient represents the ability of the environment medium to absorb light.

[0050] In a third aspect, the present application provides a self-service device, including a processor and a memory connected with the processor in communication;

[0051] The memory stores computer execution instructions;

[0052] The processor executes the computer execution instructions stored in the memory to implement the method of the first aspect.

[0053] In a fourth aspect, the present application provides a computer readable storage medium, which stores computer execution instructions, and the computer execution instructions are executed by a processor to implement the method of the first aspect.

[0054] In a fifth aspect, the present application provides a computer program product, which includes a computer program, and the computer program is executed by a processor to implement the method of the first aspect.

[0055] The face recognition method, device and equipment applied to the self-service device provided by the present application, by setting the transmitting unit and the receiving unit on the self-service device, obtaining the transmitting parameter information when the transmitting light beam and the receiving parameter information when the receiving light signal, and processing the transmitting parameter information and the receiving parameter information, obtaining the optical propagation parameter of the environment medium of the current user's environment, based on the optical propagation parameter, performing recovery processing on the user face image collected by the image collection unit on the self-service device to obtain the processed face image, and then performing face recognition on the processed face image; further, by the parameter information generated by the transmitting unit and the receiving device, the image is recovered, the face recognition can be quickly and accurately performed, and the efficiency of the business handling based on the face recognition is improved. BRIEF DESCRIPTION OF DRAWINGS

[0056] The accompanying drawings, which are incorporated herein and form a part of the specification, illustrate embodiments consistent with the present application and, together with the description, further serve to explain the principles of the application.

[0057] Figure 1 An application scenario diagram provided for the present application;

[0058] Figure 2 A flow diagram of a face recognition method applied to a self-service device provided for an embodiment of the present application;

[0059] Figure 3 A flow diagram of another face recognition method applied to a self-service device provided for an embodiment of the present application;

[0060] Figure 4 A structural diagram of an automatic teller machine provided for an embodiment of the present application;

[0061] Figure 5 A light beam scattering diagram provided for an embodiment of the present application;

[0062] Figure 6 A light absorption curve diagram of an environmental medium provided for an embodiment of the present application;

[0063] Figure 7 A structural diagram of a face recognition device applied to a self-service device provided for an embodiment of the present application;

[0064] Figure 8 A structural diagram of another face recognition device applied to a self-service device provided for an embodiment of the present application;

[0065] Figure 9 A structural diagram of a self-service device provided for an embodiment of the present application;

[0066] Figure 10 A block diagram of a self-service device according to an exemplary embodiment.

[0067] Through the above drawings, the specific embodiments of the present application have been shown, and will be described in more detail hereinafter. These drawings and written descriptions are not intended to limit the scope of the concept of the present application by any means, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0068] The exemplary embodiments will be described in detail herein with reference to the attached drawings. In the following description, like reference numerals refer to like elements throughout the description. The following exemplary embodiments are not representative of all embodiments consistent with the present application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of the present application as detailed in the appended claims.

[0069] It should be noted that the user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the present application are all information and data authorized by the user or authorized by all parties, and the collection, use and processing of related data need to comply with relevant laws, regulations and standards, and provide corresponding operation portal for user to choose authorization or refusal.

[0070] It should be noted that the face recognition method, device and equipment applied to self-service equipment of the present application can be used in the field of artificial intelligence technology, and can also be used in any field other than artificial intelligence technology. The application field of the face recognition method, device and equipment applied to self-service equipment of the present application is not limited.

[0071] Figure 1 An application scenario is provided for the present application. As shown in Figure 1 The scenario includes a self-service equipment and a user 102. The user 102 can input an operation instruction for handling a business to the self-service equipment 101 through manual operation. The self-service equipment 101 responds to the operation instruction for handling a business, performs face recognition, displays the recognition result of face recognition, and the user 102 handles a business through the self-service equipment 101.

[0072] Nowadays, face recognition technology is applied to many fields, for example, based on face recognition to handle a bank business.

[0073] In one example, the way of handling a bank business based on face recognition can be applied to a self-service equipment of a bank. The self-service equipment can collect face images through its own camera, and then handle a bank business on the self-service equipment based on face image recognition.

[0074] However, in the above-mentioned way, when the environment where the self-service equipment is located has low visibility, the collected image quality is poor, which makes it difficult for the self-service equipment to accurately and quickly recognize the image, thereby affecting the efficiency of the user handling a bank business.

[0075] The face recognition method, device and equipment applied to self-service equipment provided by the present application aim to solve the above technical problems of the prior art.

[0076] The technical solutions of the present application and how the technical solutions of the present application solve the above technical problems will be described in detail below with specific examples. The following specific examples can be combined with each other, and the same or similar concepts or processes can not be described again in some examples. The embodiments of the present application will be described below with reference to the accompanying drawings.

[0077] Figure 2 A flowchart of a face recognition method applied to a self-service device according to an embodiment of the present application is shown in FIG. 1, which includes the following steps. Figure 2

[0078] S101, acquiring an image collected by an image collection unit located on the self-service device, and acquiring transmission information of a transmission unit located on the self-service device and receiving information of a receiving unit located on the self-service device; wherein the image is a face image of a user currently in a preset area, the transmission unit is used to transmit a light beam based on a preset time interval, the transmission information is transmission parameter information when the transmission unit transmits the light beam, and the receiving unit is used to receive at least one optical signal generated after the light beam transmitted by the transmission unit is scattered by an environmental medium, and the receiving information is receiving parameter information when the receiving unit receives the at least one optical signal.

[0079] Exemplarily, the execution subject of the present embodiment can be an electronic device. First, the self-service device is installed with an image collection unit, a transmission unit and a receiving unit, based on the controller of the self-service device, such as the unit in the self-service cash machine ATM (Automated Teller Machine), in response to the instruction of the current user input business handling, control the image collection unit to collect the face image of the user currently in the preset area range of the self-service device, and control the transmission unit to transmit the light beam based on the preset time interval, the light beam transmitted by the transmission unit is scattered by the environmental medium to generate a plurality of light signals corresponding to the light rays, and these light signals are reflected to the receiving unit through a plurality of reflection points such as the ground to be received, then based on the controller, some optical transmission parameter information generated by the transmission unit transmitting the light beam, that is, the transmission information, and some optical receiving parameter information generated when the receiving unit receives the at least one optical signal, that is, the receiving information, are transmitted to the controller for data processing.

[0080] S102, determining the current environmental information according to the transmission information and the receiving information; wherein the current environmental information represents the optical propagation parameter of the environmental medium of the environment where the user is currently located.

[0081] ​Exemplarily, according to the acquired optical emission parameter information and optical reception parameter information, the information is analyzed and processed based on some conventional empirical formula or information processing technology, and then the optical propagation parameter of the environmental medium of the current environment in which the user is located is obtained to know the influence degree of the medium in the current environment on the light propagation.

[0082] S103, performing image processing on the image according to the current environment information to obtain a processed image.

[0083] Exemplarily, according to the determined current environment information, the current environment information and the image can be input into a preset artificial intelligence model based on the preset artificial intelligence model, the image is processed, and a processed image is output to improve the quality of the image.

[0084] S104, performing face recognition on the processed image to obtain a recognition result; wherein the recognition result indicates whether the user is the owner corresponding to the self-service device, and the recognition result is used to instruct the user to perform a bank business operation.

[0085] Exemplarily, according to the obtained processed image, the face recognition is performed on the processed image based on the self-service device to identify whether the current user is the owner corresponding to the self-service device, so that it is quickly and accurately known whether the current user passes the face recognition, and then the current user can perform the next business operation according to the displayed recognition result, thereby improving the efficiency of the user to handle the business.

[0086] In the embodiment, a face recognition method applied to a self-service device is provided. The emission parameter information when the emission light beam is obtained and the reception parameter information when the reception light signal is obtained are obtained by setting the emission unit and the reception unit on the self-service device, and the emission parameter information and the reception parameter information are processed to obtain the optical propagation parameter of the environmental medium of the current environment in which the user is located. Based on the optical propagation parameter, the user face image collected by the image collection unit on the self-service device is recovered to obtain a processed face image, and then the face recognition is performed on the processed face image. Furthermore, the parameters generated by the emission unit and the reception device are used to recover the image, so that the face recognition is quickly and accurately performed, and the efficiency of the business operation based on the face recognition is improved.

[0087] Figure 3 Another flowchart of a face recognition method applied to a self-service device provided by the embodiment of the present application is shown in FIG. 3. Figure 3 The method comprises the following steps.

[0088] S201, acquire an image collected by an image collection unit located on the self-service device, and acquire transmission information of a transmission unit located on the self-service device and reception information of a reception unit located on the self-service device; wherein the image is a face image of a user currently in a preset area, the transmission unit is configured to transmit a light beam based on a preset time interval, the transmission information is transmission parameter information when the transmission unit transmits the light beam, and the reception unit is configured to receive at least one optical signal generated after the light beam transmitted by the transmission unit is scattered by an environmental medium, and the reception information is reception parameter information when the reception unit receives the at least one optical signal.

[0089] Exemplarily, Figure 4 A structural schematic diagram of an autonomous cash dispenser is provided for the embodiments of the present application, as shown in Figure 4 The autonomous cash dispenser includes a camera for collecting images, a transmission unit for transmitting a light beam, and a reception unit for receiving an optical signal. In response to an instruction for handling a service input by a current user, the camera is controlled to collect a face image of a user currently in a preset area of the self-service device, and the transmission unit is controlled to transmit a light beam based on a preset time interval. After the light beam transmitted by the transmission unit is scattered by an environmental medium, a plurality of light signals corresponding to a plurality of light rays are generated. These light signals are reflected to the reception unit through a plurality of reflection points such as the ground for reception. Then, based on the controller, some optical transmission parameter information, i.e., transmission information, generated by the transmission unit when transmitting the light beam, and some optical reception parameter information, i.e., reception information, generated when the reception unit receives the at least one optical signal, are transmitted to the controller for data processing.

[0090] S202, determine a transmission distance set according to a transmission time, a reception time set, and a preset speed of light; wherein the preset speed of light is a speed at which each optical signal propagates in the air; and the transmission distance set includes a transmission distance of each optical signal received by the reception unit, and the transmission distance is a distance at which the optical signal is transmitted in the environment between the transmission unit and the reception unit.

[0091] In one example, the transmission information includes a transmission time, the transmission time is a time at which the transmission unit transmits the light beam each time; the reception information includes a reception time set and a reception power set, the reception time set includes a reception time of each optical signal received by the reception unit, the reception time is a time at which the reception unit receives the optical signal, and the reception power set includes a reception power of each optical signal received by the reception unit, the reception power is a reception power when the reception unit receives the optical signal; and the current environmental information includes an absorption coefficient and a scattering coefficient.

[0092] Exemplarily, Figure 5 A schematic diagram of light beam scattering is provided for the embodiments of the present application, as shown in Figure 5As shown, based on the emission unit emitting the light beams, the emission information of the emission unit is generated, including the time of each emission of the light beams by the emission unit, i.e., the emission time of each light beam; based on the receiving unit receiving the light signals, the receiving information of the receiving unit is generated, including the receiving time of each received light signal by the receiving unit, i.e., the set of receiving times, and the receiving power of each received light signal by the receiving unit, i.e., the set of receiving powers. According to the obtained emission time and the receiving time of each received light signal, the transmission time of each light signal in the environment between the output from the emission unit, the scattering in the environmental medium and the ground reflection to the receiving unit is obtained, and through data processing on the transmission time of each light signal and the speed of propagation of each light signal in the air, i.e., the preset speed of light, the transmission distance of each received light signal in the environment between the emission unit and the receiving unit is obtained, i.e., the set of transmission distances.

[0093] S203, according to the set of transmission distances and the set of receiving powers, the slope information is determined, wherein the slope information represents the difficulty of propagation of each emitted light beam by the emission unit in the current environment of the user.

[0094] In one example, the slope information of the i-th emitted light beam is wherein z k is the transmission distance of the k-th light signal received by the receiving unit, and P(k) is the receiving power when the k-th light signal is received by the receiving unit.

[0095] Exemplarily, according to the obtained transmission distance of each received light signal and the receiving power of each light signal received by the receiving unit, data processing is performed to obtain the slope information of each emitted light beam by the emission unit, and thus the difficulty of propagation of each emitted light beam by the emission unit in the current environment of the user is known. Figure 6 An optical absorption curve of an environmental medium provided by an embodiment of the present application is shown in FIG. 2, which shows the time of receiving the light signals generated after the scattering of the light beams 1 and 2 by the receiving unit and the corresponding change of receiving power. According to the Beer-Lambert law, when the emission power of the emission unit is constant, the formula corresponding to the Beer-Lambert law is derived as follows: Figure 6 Further derivation is as follows: Further derivation is as follows: Further derivation is as follows: k ) 2 P(k))=lnA-2z k K i Further derivation is as follows: Further derivation is as follows: wherein z kThe transmission distance of the kth optical signal received by the receiving unit, P(k) is the receiving power when the receiving unit receives the kth optical signal, A is any constant, based on the formula calculation, the slope information of the received optical signal of each transmitted light beam after scattering and reflection is obtained.

[0096] S204, according to the slope information of the light beams emitted by the transmitting unit twice in succession, the absorption coefficient and the scattering coefficient in the current environment information are determined; wherein the scattering coefficient represents the ability of the environmental medium to scatter light, and the absorption coefficient represents the ability of the environmental medium to absorb light; the built-in parameters of the receiving unit when receiving the light beams emitted by the transmitting unit twice in succession are inconsistent.

[0097] In one example, the absorption coefficient The scattering coefficient Wherein, K i is the slope information of the light beam emitted by the transmitting unit for the i time, K i+1 is the slope information of the light beam emitted by the transmitting unit for the i+1 time, r i is the built-in parameter of the receiving unit when receiving the light beam emitted by the transmitting unit for the i time, r i+1 is the built-in parameter of the receiving unit when receiving the light beam emitted by the transmitting unit for the i+1 time.

[0098] Exemplarily, the transmitting unit is emitted twice, that is, the receiving unit receives the optical signals corresponding to the light beams emitted by the transmitting unit twice in succession, after receiving the reflected optical signal of the current emitted light beam, the built-in parameter of the receiving unit is adjusted, such as the receiving angle width, so that the built-in parameters of the receiving unit when receiving the light beams emitted by the transmitting unit twice in succession are inconsistent, and then the slope information of the light beams emitted by the transmitting unit twice in succession can be obtained, the slope information of the light beams emitted twice is processed, and then the current environment information, including the absorption coefficient and the scattering coefficient, is obtained, wherein the scattering coefficient represents the ability of the environmental medium to scatter light, and the absorption coefficient represents the ability of the environmental medium to absorb light. According to the formula corresponding to the existing Beer-Lambert law, it is derived that Further derivation gives K i =c-r i b and K i+1 =c-r i+1 b, further quadratic equation set derivation is carried out, and then the absorption coefficient The scattering coefficient Through the formula calculation, the absorption coefficient and the scattering coefficient of the environmental medium in the front environment can be obtained, wherein K i is the slope information of the light beam emitted by the transmitting unit for the i time, K i+1 is the slope information of the light beam emitted by the transmitting unit for the i+1 time, r iThe built-in parameter when the receiving unit receives the light beam transmitted by the i-th transmitting unit is r i+1 The built-in parameter when the receiving unit receives the light beam transmitted by the i+1-th transmitting unit is r

[0099] S205, determining an image processing parameter according to the current environment information, wherein the image processing parameter is an optical parameter used for image processing.

[0100] In one example, the current environment information includes an absorption coefficient and a scattering coefficient, wherein the scattering coefficient represents the ability of the environmental medium to scatter light, and the absorption coefficient represents the ability of the environmental medium to absorb light.

[0101] Illustratively, according to the calculated current environment information, including the absorption coefficient and the scattering coefficient of the environmental medium of the current environment, wherein the scattering coefficient represents the ability of the environmental medium to scatter light, and the absorption coefficient represents the ability of the environmental medium to absorb light, the absorption coefficient and the scattering coefficient are analyzed and processed, and then the optical parameter used for image processing, i.e. the image processing parameter, such as resolution, contrast, etc. is obtained.

[0102] S206, performing image recovery processing on the image according to the image processing parameter to obtain a processed image.

[0103] Illustratively, according to the determined optical parameter used for image processing, i.e. the image processing parameter, the acquired face image of the user is processed based on image processing technology to obtain a processed image, so as to improve the quality of the image.

[0104] S207, comparing the processed image with a preset face image.

[0105] Illustratively, in order to verify the identity of the user, according to the information input by the current user, a preset face image corresponding to the owner corresponding to the self-service device is acquired, and the processed image obtained after processing is compared with the preset face image.

[0106] S208, if it is determined that the processed image is consistent with the preset face image, it is determined that the recognition result represents that the user is the owner corresponding to the self-service device.

[0107] Illustratively, if it is determined that the processed image is consistent with the preset face image after image comparison, it can be determined that the current user is the owner corresponding to the self-service device, and the user passes the face recognition verification, and the current user can further perform bank business operation, thereby improving the efficiency of the user in handling business.

[0108] S209, if it is determined that the processed image is inconsistent with the preset face image, it is determined that the recognition result represents that the user is not the owner corresponding to the self-service device.

[0109] For example, if it is determined through image comparison that the processed image is inconsistent with the preset face image, it is determined that the current user is not the owner corresponding to the self-service device, and the current user cannot perform the next business operation.

[0110] S210, if it is determined that the recognition result represents that the user is not the owner corresponding to the self-service device, an alarm information is sent, wherein the alarm information is used to prompt the bank staff to handle the abnormal situation.

[0111] For example, if it is determined through image comparison that the current user is not the owner corresponding to the self-service device, based on the self-service device, corresponding alarm information can be generated and sent, such as sound or light, to prompt the bank staff to handle the abnormal situation.

[0112] In the embodiment, on the basis of the above-mentioned embodiment, on the one hand, by setting the transmitting unit and the receiving unit on the self-service device, the transmitting parameter information when the transmitting light beam is obtained and the receiving parameter information when the receiving light signal is obtained, and processing the transmitting parameter information and the receiving parameter information, the optical propagation parameter of the environmental medium of the environment where the current user is located is obtained, based on the optical propagation parameter, the user face image collected by the image collection unit on the self-service device is recovered and processed to obtain the processed face image, and then the face recognition is performed on the processed face image; further, by the parameter information generated by the transmitting unit and the receiving device, the image is recovered, the face recognition is quickly and accurately performed, and the efficiency of the business handling based on the face recognition is improved; on the other hand, by the existing formula derivation, the optical propagation parameter of the environmental medium is calculated, and based on the optical propagation parameter, the image processing is performed, and then the quality of the image for face image recognition is improved, and the accuracy of the face recognition is improved.

[0113] Figure 7 A structure schematic diagram of a face recognition device applied to a self-service device provided by the embodiment of the present application is shown in FIG. 3. Figure 7 As shown in FIG. 3, the device 300 includes:

[0114] The acquisition unit 301 is configured to acquire an image collected by an image collection unit located on the self-service device, and acquire emission information of an emission unit located on the self-service device and reception information of a reception unit located on the self-service device; the image is a face image of a user currently in a preset area, the emission unit is configured to emit a light beam based on a preset time interval, the emission information is emission parameter information when the emission unit emits the light beam, the reception unit is configured to receive at least one optical signal generated after the light beam emitted by the emission unit is scattered by an environmental medium, and the reception information is reception parameter information when the reception unit receives the at least one optical signal.

[0115] The determination unit 302 is configured to determine current environmental information according to the emission information and the reception information; the current environmental information represents an optical propagation parameter of an environmental medium of an environment in which the user is currently located.

[0116] The processing unit 303 is configured to perform image processing on the image according to the current environmental information, to obtain a processed image.

[0117] The recognition unit 304 is configured to perform face recognition on the processed image, to obtain a recognition result; the recognition result represents whether the user is a user owner corresponding to the self-service device, and the recognition result is used to instruct the user to perform a bank operation.

[0118] The device of the embodiment can execute the technical solutions in the method, and the specific implementation process and the technical principles are the same, which will not be described here.

[0119] Figure 8 Another structure diagram of a face recognition device applied to a self-service device provided by the embodiment of the application is shown in FIG. 4, which includes: Figure 8

[0120] The acquisition unit 401 is configured to acquire an image collected by an image collection unit located on the self-service device, and acquire emission information of an emission unit located on the self-service device and reception information of a reception unit located on the self-service device; the image is a face image of a user currently in a preset area, the emission unit is configured to emit a light beam based on a preset time interval, the emission information is emission parameter information when the emission unit emits the light beam, the reception unit is configured to receive at least one optical signal generated after the light beam emitted by the emission unit is scattered by an environmental medium, and the reception information is reception parameter information when the reception unit receives the at least one optical signal.

[0121] The determination unit 402 is configured to determine current environmental information according to the emission information and the reception information; the current environmental information represents an optical propagation parameter of an environmental medium of an environment in which the user is currently located.

[0122] ​The processing unit 403 is configured to perform image processing on the image according to the current environment information, to obtain a processed image.

[0123] The recognition unit 404 is configured to perform face recognition on the processed image, to obtain a recognition result; the recognition result indicates whether the user is a user owner corresponding to the self-service device, and the recognition result is used to instruct the user to perform a bank operation.

[0124] In one example, the transmission information includes a transmission time, the transmission time being a time at which the transmission unit transmits each light beam; the reception information includes a reception time set and a reception power set, the reception time set including a reception time of each light signal received by the reception unit, the reception time being a time at which the reception unit receives the light signal, and the reception power set including a reception power of each light signal received by the reception unit, the reception power being a reception power when the reception unit receives the light signal; and the current environment information includes an absorption coefficient and a scattering coefficient.

[0125] The determination unit 402 includes:

[0126] The first determination module 4021 is configured to determine a transmission distance set according to the transmission time, the reception time set, and a preset light speed, the preset light speed being a speed at which each light signal propagates in air, and the transmission distance set including a transmission distance of each light signal received by the reception unit, the transmission distance being a distance at which the light signal is transmitted in the environment between the transmission unit and the reception unit.

[0127] The second determination module 4022 is configured to determine slope information according to the transmission distance set and the reception power set, the slope information indicating a degree of difficulty of propagation of each light beam transmitted by the transmission unit in the current environment in which the user is located.

[0128] The third determination module 4023 is configured to determine the absorption coefficient and the scattering coefficient in the current environment information according to slope information of light beams transmitted by the transmission unit twice in succession, the scattering coefficient indicating a capability of scattering light of an environmental medium, and the absorption coefficient indicating a capability of absorbing light of the environmental medium; built-in parameters of the reception unit are inconsistent when the reception unit receives the light beams transmitted by the transmission unit twice in succession.

[0129] In one example, the slope information of the light beam transmitted the i-th time is wherein z k is the transmission distance of the k-th light signal received by the reception unit, and P(k) is the reception power when the reception unit receives the k-th light signal.

[0130] In one example, the absorption coefficient is the scattering coefficient is wherein K iK is slope information of a light beam emitted by the emitting unit for the i-th time i+1 r is slope information of a light beam emitted by the emitting unit for the i+1-th time i r is an internal parameter of the receiving unit when the receiving unit receives the light beam emitted by the emitting unit for the i-th time i+1 r is an internal parameter of the receiving unit when the receiving unit receives the light beam emitted by the emitting unit for the i+1-th time.

[0131] In one example, the processing unit 403 comprises:

[0132] The fourth determination module 4031 is configured to determine image processing parameters according to the current environment information, wherein the image processing parameters are optical parameters used for image processing.

[0133] The processing module 4032 is configured to perform image restoration processing on the image according to the image processing parameters to obtain a processed image.

[0134] In one example, the identification unit 404 comprises:

[0135] The comparison module 4041 is configured to compare the processed image with a preset face image.

[0136] The fifth determination module 4042 is configured to determine that the identification result represents that the user is the owner corresponding to the self-service device if it is determined that the processed image is consistent with the preset face image.

[0137] The sixth determination module 4043 is configured to determine that the identification result represents that the user is not the owner corresponding to the self-service device if it is determined that the processed image is inconsistent with the preset face image.

[0138] In one example, after the identification unit 404 is configured to perform face recognition on the processed image to obtain an identification result, the apparatus further comprises:

[0139] The alarm unit 405 is configured to send an alarm information if it is determined that the identification result represents that the user is not the owner corresponding to the self-service device, wherein the alarm information is used to prompt a bank staff to handle the abnormal situation.

[0140] In one example, the current environment information comprises an absorption coefficient and a scattering coefficient, wherein the scattering coefficient represents the ability of the environmental medium to scatter light, and the absorption coefficient represents the ability of the environmental medium to absorb light.

[0141] The apparatus of the embodiment can execute the technical solutions in the above method, and the specific implementation process and technical principles are the same, which will not be repeated here.

[0142] Figure 9 A structural schematic diagram of a self-service device provided by the embodiment of the present application is shown in FIG. 1. Figure 9As shown, the self-service device 500 includes a memory 501, a processor 502; the memory 501; and a memory for storing instructions executable by the processor 502.

[0143] The processor 502 is configured to perform the methods provided by the above-described embodiments.

[0144] The electronic device 500 further includes a receiver 503 and a transmitter 504. The receiver 503 is configured to receive instructions and data sent by other devices, and the transmitter 504 is configured to send instructions and data to external devices.

[0145] Figure 10 FIG. 8 is a block diagram of a self-service device according to an exemplary embodiment. The self-service device 800 can be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, or the like.

[0146] The self-service device 800 can include one or more of the following components: a processing component 802, a memory 804, a power supply component 806, a multimedia component 808, an audio component 810, an input / output (I / O) interface 812, a sensor component 814, and a communication component 816.

[0147] The processing component 802 usually controls overall operations of the self-service device 800, such as operations associated with displaying, making phone calls, data communications, camera operations, and recording operations. The face recognition component 802 applied to the bank self-service device can include one or more processors 820 to execute instructions to complete all or part of the steps of the above-described methods. In addition, the processing component 802 can include one or more modules to facilitate interaction between the processing component 802 and other components. For example, the processing component 802 can include a multimedia module to facilitate the interaction between the multimedia component 808 and the processing component 802.

[0148] The memory 804 is configured to store various types of data to support operations of the self-service device 800. Examples of these data include instructions for any application or method operating on the self-service device 800, contact data, phonebook data, messages, pictures, videos, and the like. The memory 804 can be implemented by any type of volatile or non-volatile storage devices or a combination thereof, such as static random access memory, electrically erasable programmable read-only memory, erasable programmable read-only memory, programmable read-only memory, read-only memory, magnetic storage, flash memory, magnetic disk, or optical disk.

[0149] The power component 806 provides power to the various components of the self-service device 800. The power component 806 can include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for the self-service device 800.

[0150] The multimedia component 808 includes a screen that provides an output interface between the self-service device 800 and a user. In some embodiments, the screen includes a liquid crystal display and a touch panel. If the screen includes a touch panel, the screen can be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touch, swiping, and gestures on the touch panel. The touch sensors can not only sense the boundary of a touch or swipe action, but also detect duration and pressure associated with the touch or swipe action. In some embodiments, the multimedia component 808 includes a front-facing camera and / or a rear-facing camera. The front-facing camera and / or the rear-facing camera can receive external multimedia data when the self-service device 800 is in an operational mode, such as a photographing mode or a video mode. Each of the front-facing camera and the rear-facing camera can be a fixed optical lens system or have a focal length and optical zoom capability.

[0151] The audio component 810 is configured to output and / or input audio signals. For example, the audio component 810 includes a microphone that is configured to receive external audio signals when the self-service device 800 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals can be further stored in the memory 804 or transmitted via the communication component 816. In some embodiments, the audio component 88 also includes a speaker for outputting audio signals.

[0152] The input / output interface 812 provides an interface between the processing component 802 and peripheral interface modules, which can be a keyboard, a click wheel, a button, and the like. The buttons can include, but are not limited to, a home button, a volume button, a start button, and a lock button.

[0153] The sensor assembly 814 includes one or more sensors to provide status information for various aspects of the self-service device 800. For example, the sensor assembly 814 can detect the open / closed status of the self-service device 800, the relative positioning of components, such as the display and keypad of the self-service device 800, the sensor assembly 814 can also detect changes in the position of the self-service device 800 or a component of the self-service device 800, the presence or absence of user contact with the self-service device 800, the orientation or acceleration / deceleration of the self-service device 800, and changes in the temperature of the self-service device 800. The sensor assembly 814 can include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 814 can also include a light sensor for use in imaging applications. In some embodiments, the sensor assembly 814 can also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

[0154] The communication assembly 816 is configured to facilitate wired or wireless communication between the self-service device 800 and other devices. The self-service device 800 can access a wireless network based on a communication standard. In an example embodiment, the communication assembly 816 receives broadcast signals or broadcast-related information from an external broadcast management system via a broadcast channel. In an example embodiment, the communication assembly 816 also includes a near field communication module to facilitate short-range communication. For example, the near field communication module can be implemented based on radio frequency identification technology, infrared data association technology, ultra-wideband technology, and other technologies.

[0155] In an example embodiment, the self-service device 800 can be implemented by one or more application-specific integrated circuits, digital signal processors, digital signal processing devices, programmable logic devices, field programmable gate arrays, controllers, micro-controllers, microprocessors, or other electronic elements for performing the above-described methods.

[0156] According to embodiments of the present application, the present application also provides a non-transitory computer readable storage medium including instructions, such as the memory 804 including instructions, which can be executed by the processor 820 of the self-service device 800 to complete the above-described methods. For example, the non-transitory computer readable storage medium can be a random access memory, a magnetic tape, a floppy disk, and an optical disk data storage device, etc.

[0157] According to embodiments of the present application, the present application also provides a non-transitory computer readable storage medium, when the instructions in the storage medium are executed by the processor of the self-service device, the self-service device can execute the above-described methods.

[0158] According to the embodiments of the present application, the present application further provides a computer program product, which comprises a computer program stored in a readable storage medium, at least one processor of the self-service device can read the computer program from the readable storage medium, and the at least one processor executes the computer program to enable the self-service device to execute the scheme provided in any one of the above embodiments. It should be noted that, for the above-mentioned method embodiments, in order to simply describe, they are all expressed as a combination of a series of actions, but those skilled in the art should know that the present application is not limited to the order of the actions described, because according to the present application, certain steps can be performed in other order or simultaneously. Secondly, those skilled in the art should know that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required by the present application.

[0159] It should be further noted that, although each step in the flowchart is displayed in sequence according to the arrow, these steps are not necessarily executed in sequence according to the arrow. Unless otherwise specified herein, the execution of these steps has no strict order limitation, and these steps can be executed in other order. Moreover, at least part of the steps in the flowchart can include multiple sub-steps or multiple stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution order of these sub-steps or stages is not necessarily sequential, but can be executed alternately or alternately with at least part of other steps or sub-steps or stages of other steps.

[0160] It should be understood that the above-mentioned device embodiments are only schematic, and the device of the present application can also be realized by other manners. For example, the division of units / modules in the above-mentioned embodiments is only a logical function division, and another division manner can be used in actual implementation. For example, multiple units, modules or components can be combined, or can be integrated into another system, or some features can be ignored or not executed.

[0161] In addition, unless otherwise specified, each functional unit / module in each embodiment of the present application can be integrated in one unit / module, or each unit / module can exist physically, or two or more units / modules can be integrated together. The integrated unit / module can be realized in the form of hardware or in the form of software program module.

[0162] If the integrated units / modules are implemented in the form of hardware, the hardware can be a digital circuit, an analog circuit, etc. The physical implementation of the hardware structure includes, but is not limited to, transistors, memristors, etc. Unless otherwise specified, the processor can be any appropriate hardware processor, such as a CPU, a GPU, an FPGA, a DSP, an ASIC, etc. Unless otherwise specified, the storage unit can be any appropriate magnetic storage medium or magneto-optical storage medium, such as resistive random access memory (RRAM), dynamic random access memory (DRAM), static random access memory (SRAM), enhanced dynamic random access memory (EDRAM), high-bandwidth memory (HBM), hybrid memory cube (HMC), etc.

[0163] If the integrated units / modules are implemented in the form of software program modules and sold or used as independent products, they can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application or the essential part or all or part of the technical solutions that make contributions to the prior art can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server or a network device, etc.) to execute all or part of the steps of the embodiments of the present application. The aforementioned storage medium includes a U disk, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk, and various media that can store program codes.

[0164] In the above embodiments, the description of each embodiment has its own focus, and the parts not described in detail in a certain embodiment can be referred to the related description of other embodiments. The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above embodiments are described, but as long as the combination of the technical features does not exist contradictory, it should be considered as the scope of the present application

[0165] Other embodiments of the application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. It is intended that the specification and examples be considered as exemplary only, with the true scope and spirit of the application being indicated by the following claims.

[0166] It is to be understood that the application is not limited to the precise construction herein disclosed and shown in the drawings, and that various modifications and changes can be made by those skilled in the art without departing from the scope of the application. The scope of the application is limited only by the claims that follow.

Claims

1. A face recognition method applied to a self-service device, characterized in that, The method comprises: acquiring an image collected by an image collection unit located on a self-service device, and acquiring emission information of an emission unit located on the self-service device and receiving information of a receiving unit located on the self-service device; wherein the image is a face image of a user currently in a preset area, the emission unit is used for emitting a light beam based on a preset time interval, the emission information is emission parameter information when the emission unit emits the light beam, the receiving unit is used for receiving at least one optical signal generated after the light beam emitted by the emission unit is scattered by an environmental medium, and the receiving information is receiving parameter information when the receiving unit receives the at least one optical signal; determining current environmental information according to the emission information and the receiving information; wherein the current environmental information represents an optical propagation parameter of an environmental medium of an environment currently occupied by the user; performing image processing on the image according to the current environmental information to obtain a processed image; performing face recognition on the processed image to obtain a recognition result; wherein the recognition result represents whether the user is a householder corresponding to the self-service device, and the recognition result is used for instructing the user to perform a bank business operation; the emission information comprises an emission time point, the emission time point is a time point of each time the emission unit emits a light beam; the receiving information comprises a receiving time point set and a receiving power set, the receiving time point set comprises a receiving time point of each optical signal received by the receiving unit, the receiving time point is a time point at which the receiving unit receives an optical signal, and the receiving power set comprises a receiving power of each optical signal received by the receiving unit, the receiving power is a receiving power when the receiving unit receives an optical signal; the current environmental information comprises an absorption coefficient and a scattering coefficient; determining current environmental information according to the emission information and the receiving information, comprising: determining a transmission distance set according to the emission time point, the receiving time point set and a preset light speed; wherein the preset light speed is a speed of each optical signal propagating in air; and the transmission distance set comprises a transmission distance of each optical signal received by the receiving unit, the transmission distance being a distance of the optical signal transmitted in an environment between the emission unit and the receiving unit; determining slope information according to the transmission distance set and the receiving power set, wherein the slope information represents a degree of difficulty of the light beam emitted by the emission unit each time propagating in the environment currently occupied by the user; determining the absorption coefficient and the scattering coefficient in the current environmental information according to the slope information of the light beams emitted by the emission unit continuously twice; wherein the scattering coefficient represents the ability of the environmental medium to scatter light, and the absorption coefficient represents the ability of the environmental medium to absorb light; built-in parameters of the receiving unit when receiving the light beams emitted by the emission unit continuously twice are inconsistent.

2. The method of claim 1, wherein, The first slope information of the light beam of the secondary emission Wherein, The transmission distance of the first optical signal received by the receiving unit, The receiving power when the receiving unit receives the first optical signal.

3. The method of claim 1, wherein, The absorption coefficient The scattering coefficient ;in, For the transmitting unit The slope information of the emitted beam. For the transmitting unit The slope information of the emitted beam. For the receiving unit to receive the first transmission unit Built-in parameters for the next emitted beam. For the receiving unit to receive the first transmission unit Built-in parameters for the emitted beam.

4. The method of claim 1, wherein, performing image processing on the image according to the current environmental information to obtain a processed image, comprising: Determine an image processing parameter according to the current environment information, wherein the image processing parameter is an optical parameter used for image processing; Perform image recovery processing on the image according to the image processing parameter to obtain the processed image.

5. The method according to any one of claims 1-4, characterized in that, Perform face recognition on the processed image to obtain a recognition result, including: Compare the processed image with a preset face image; If it is determined that the processed image is consistent with the preset face image, it is determined that the recognition result represents that the user is a householder corresponding to the self-service device; If it is determined that the processed image is inconsistent with the preset face image, it is determined that the recognition result represents that the user is not a householder corresponding to the self-service device.

6. The method according to any one of claims 1-4, characterized in that, After performing face recognition on the processed image to obtain a recognition result, further including: If it is determined that the recognition result represents that the user is not a householder corresponding to the self-service device, an alarm information is sent, wherein the alarm information is used to prompt a bank staff to handle an abnormal situation.

7. The method according to any one of claims 1-4, characterized in that, The current environment information includes an absorption coefficient and a scattering coefficient, wherein the scattering coefficient represents the ability of an environmental medium to scatter light, and the absorption coefficient represents the ability of the environmental medium to absorb light.

8. A face recognition device applied to a self-service device, characterized by, The device includes: An acquisition unit configured to acquire an image collected by an image collection unit located on a self-service device, and to acquire emission information of an emission unit located on the self-service device and reception information of a reception unit located on the self-service device, wherein the image is a face image of a user currently in a preset area, the emission unit is configured to emit a light beam based on a preset time interval, the emission information is emission parameter information when the emission unit emits the light beam, the reception unit is configured to receive at least one optical signal generated after the light beam emitted by the emission unit is scattered by an environmental medium, and the reception information is reception parameter information when the reception unit receives the at least one optical signal; A determination unit configured to determine current environment information according to the emission information and the reception information, wherein the current environment information represents optical propagation parameters of an environmental medium of an environment in which the user is currently located; A processing unit configured to perform image processing on the image according to the current environment information to obtain a processed image; An identification unit configured to perform face recognition on the processed image to obtain a recognition result, wherein the recognition result represents whether the user is a householder corresponding to the self-service device, and the recognition result is used to instruct the user to perform a bank business handling operation. The transmission information includes a transmission time, which is a time when the transmission unit transmits a light beam each time; the receiving information includes a receiving time set and a receiving power set, the receiving time set includes a receiving time of each light signal received by the receiving unit, the receiving time is a time when the receiving unit receives the light signal, and the receiving power set includes a receiving power of each light signal received by the receiving unit, the receiving power is a receiving power when the receiving unit receives the light signal; and the current environment information includes an absorption coefficient and a scattering coefficient. The determination unit is specifically configured to determine a transmission distance set according to the transmission time, the receiving time set, and a preset light speed, wherein the preset light speed is a speed of each light signal propagating in air; and the transmission distance set includes a transmission distance of each light signal received by the receiving unit, the transmission distance is a distance of the light signal transmitted in the environment between the transmission unit and the receiving unit. According to the transmission distance set and the receiving power set, slope information is determined, wherein the slope information represents a degree of difficulty of the light beam transmitted by the transmission unit each time propagating in the current environment of the user. According to the slope information of the light beams transmitted by the transmission unit continuously twice, the absorption coefficient and the scattering coefficient in the current environment information are determined, wherein the scattering coefficient represents an ability of an environmental medium to scatter light, and the absorption coefficient represents an ability of the environmental medium to absorb light; and built-in parameters of the receiving unit when receiving the light beams transmitted by the transmission unit continuously twice are inconsistent.

9. A self-service device, characterized in that The processor and a memory connected with the processor in communication; The memory stores computer execution instructions; The processor executes the computer execution instructions stored in the memory to implement the method in any one of claims 1 to 7. The computer readable storage medium stores computer execution instructions, and the computer execution instructions are executed by the processor to implement the method in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer program is executed by the processor to implement the method in any one of claims 1 to 7.

11. A computer program product, characterised in that, ​

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